ArticlePeerJ2019
Integrative analysis of transcriptome-wide association study and gene expression profiling identifies candidate genes associated with stroke.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- In Silico Systems Biology Approach for Prioritization of Candidate Genes Linked to Lipid Metabolism in the Context of Cardiovascular Disease Susceptibility in a Serbian Cohort.Current issues in molecular biology · 2026Article
- A global map for introgressed structural variation and selection in humans.Science (New York, N.Y.) · 2026Article
- Identification of Mitochondria-Related Genes Associated with Stroke Risk Through Multi-omics Summary Data-Based MR Analysis.Molecular neurobiology · 2025Article
- Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations.Briefings in bioinformatics · 2025Observational
- Identification of shared genetic etiology of cardiovascular and cerebrovascular diseases through common cardiometabolic risk factors.Communications biology · 2024Article
- Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study.Human molecular genetics · 2024Article
- Novel insight into the etiology of ischemic stroke gained by integrative transcriptome-wide association study.medRxiv : the preprint server for health sciences · 2023Article
- Identifying causal genes for stroke via integrating the proteome and transcriptome from brain and blood.Journal of translational medicine · 2022Article
- Grand challenges in stroke genomics.Frontiers in stroke · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStroke is a major public health burden worldwide. Although genetic variation is known to play a role in the pathogenesis of stroke, the specific pathogenic mechanisms are still unclear. Transcriptome-wide association studies (TWAS) is a powerful approach to prioritize candidate risk genes underlying complex traits. However, this approach has not been applied in stroke.
methodsWe conducted an integrative analysis of TWAS using data from the MEGASTROKE Consortium and gene expression profiling to identify candidate genes for the pathogenesis of stroke. Gene ontology (GO) enrichment analysis was also conducted to detect functional gene sets.
resultsThe TWAS identified 515 transcriptome-wide significant tissue-specific genes, among which
conclusionsOur study identified multiple stroke-associated genes and gene sets, and this analysis provided novel insights into the genetic mechanisms underlying stroke.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.